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FinTech Tools, Security Concerns Top of Mind for Gen-Z Banking

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FinTech Tools, Security Concerns Top of Mind for Gen-Z Banking

Younger generations’ expectations of engaging or interacting with a bank or financial institution is very different from that of previous generations. These digital native consumers expect instant decisions, personalized offers, and automated, digital experiences. This requires

In this InformationWeek article, Kathy Stares, Executive Vice President, North America for Provenir, shares her thoughts on how banks and FIs can gain deeper insights by using more data sources, AI and machine learning to power a new level of decisioning speed and accuracy.

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10 Fintechs that are Transforming SME Lending

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How can Fintechs Help the Developing World?

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How can Fintechs Help
the Developing World?

During August, The Fintech Times, highlighted some of the amazing things fintechs are doing around the world. In this article, Provenir’s SVP of Global Solutions, Carol Hamilton, weighs in on how fintechs can help the developing world.

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10 Fintechs that are Transforming SME Lending

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Serving Gen Z Demands Alternative Data and AI to Foster More Inclusive Credit Decisioning

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Serving Gen Z Demands
Alternative Data and AI to Foster More Inclusive Credit Decisioning

The most significant transfer of wealth in U.S. history is underway as Baby Boomers begin transitioning assets to younger generations. Over $70 trillion is in motion, underscoring the need for financial institutions to fully invest themselves in understanding the needs and preferences of younger consumers.

In this article, Kim Minor, SVP of Marketing for Provenir, shares insights on how alternative data and AI can help financial services providers reengineer their processes to be more inclusive of these younger clients with low or no financial history.

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Ten Companies Using Alternative Data for the Greater Good

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Provenir Named Finalist for US FinTech Awards 2022 for FinTech of the Year and Data Initiative of the Year

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Provenir Named Finalist
for US FinTech Awards 2022 for FinTech of the Year and Data Initiative of the Year

The US FinTech Awards 2022 celebrate the fintech market, and the achievements and successes of the country’s best and brightest fintech companies, products, teams, and individuals

Parsippany, NJ — Sept. 6, 2022 — Provenir, a global leader in AI-powered risk decisioning software for the fintech industry, today announced that it is a finalist in the “FinTech of the Year” category and “Data Initiative of the Year” category for the US FinTech Awards 2022.

Winners will be announced during a live streaming awards ceremony at 4 p.m. ET on Sept. 15. To register for the awards ceremony, please visit: User Registration – US FinTech Awards.

Now in its second year, the US FinTech Awards promises to be the benchmark by which financial services modernization and technological progress in the world’s premier financial services center are judged. The awards program is organized by FinTech Intel, the global market intelligence platform for financial services technology.

“Provenir is honored to be named a finalist for both ‘FinTech of the Year’ and ‘Data Initiative of the Year’, underscoring the significance of smarter, scalable risk decisioning that fintechs and financial services providers need to remain relevant and competitive,” said Kathy Stares, Executive Vice President, North America, at Provenir. “Provenir’s AI-Powered Decisioning Platform delivers a unique combination of data, decisioning and AI that provides the foundation for more accurate, automated risk decisions across the customer lifecycle – allowing organizations to stay focused on innovation and the customer experience.”

Provenir’s industry-leading AI-Powered Decisioning Platform is data-fueled and AI-driven for smarter risk decisioning. It is comprised of three essential components that enable financial institutions to rapidly overcome the challenges that hold them back – data integration, AI deployment and decisioning automation, all via a centralized, no-code platform.

The solution empowers fintechs and financial services organizations to unlock the true value of data, combining universal data access through the Provenir Marketplace with simplified AI and automated, real-time decisioning. With data more accessible and usable than before, financial institutions can automate complex decisions that drive world-class customer experiences, addressing identify, credit and fraud for quicker onboarding and serving.

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IBS Intelligence Podcast – AskIf

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IBS Intelligence Podcast –
AskIf

According to The Rose Review, access to and awareness of funding was highlighted as the number one issue for female entrepreneurs. Women launch businesses with 53% less capital on average than men, are less aware of funding options and less likely to take on debt.

In honor of Women’s Equality Day celebrated on Aug 26th, Samantha Bamers, the Founder and CEO of micro-lending firm Ask Inclusive Finance (AskIf), discusses how far the financial services industry still needs to go to ensure equality and inclusion in lending.

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The Ultimate Guide to Decision Engines

What is a decision engine and how does it help your business processes?

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The Fintech Times: What is Holding Back Financial Inclusion?

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The Fintech Times:
What is Holding Back Financial Inclusion?

Financial inclusion and financial capability continue to be top priorities for global governments and financial services providers. Kim Minor, Senior vice President, Global Marketing for Provenir, shares her perspective on the role data and AI can play in closing the gap to inclusive finance.

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Being Scalable, Robust & People Centric Helps in Building Successful AI Implementation: Varun Bhalla

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Being Scalable, Robust & People Centric Helps in Building Successful AI Implementation:
Varun Bhalla

In this fireside chat with Bfsinxt.com’s Kailash Shirodkar, Varun Bhalla, Provenir’s Country Manager for India, talks about how fintech players can leverage and improve their risk decisioning capabilities by enhancing their AI and ML capabilities. 

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15 Companies Changing the Landscape of Buy Now, Pay Later

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Data-as-a-Service: The Next Transformation for India’s Financial Institutions

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Data-as-a-Service:
The Next Transformation for India’s Financial Institutions

With India’s analytics market expected to reach INR 11,200.42 billion by 2027, financial institutions in the country will become dependent on more data to speed up innovation, deliver unparalleled customer experiences and build the resilience. 

In this Dataquest article, Varun Bhalla, General Manager, India for Provenir, explains how data marketplaces provide easy access to many types of data, allowing businesses to deliver higher value, eliminate risk and become the disruptor instead of the disrupted.

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DaaS: a New Frontier for Credit Decisioning

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DaaS:
a New Frontier for Credit Decisioning

The Manila Times

In this interview with The Manila Times, Bharath Vellore, General Manager, Asia Pacific for Provenir, discussed how Data-as-a-Service cloud software can help the banking and finance industry gain deeper insights on credit risks so financial institutions could better serve the unbanked and improve fraud detection.

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Five Key Features for Creating the Optimal Risk Decisioning Solution

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Five Key Features
for Creating the Optimal Risk Decisioning Solution

Risk-decisioning ecosystems must be designed to intelligently serve customers and create world-class customer experiences. To this end, banks and fintechs need solutions that unify credit decisioning, AI and machine learning, with real-time access to external and internal data sources to auto optimize decisions—along with the impact of those decisions—across your entire customer lifecycle.

In this article, Kim Minor, Senior Vice President of Global Marketing at Provenir, discusses the five key features that are quintessential for a modern risk decisioning platform:

  • No-code management
  • Easy access to real-time and historical data
  • Data and AI-powered decisioning across the customer lifecycle
  • Auto-optimization for decisioning that gets more accurate the more it’s used
  • Scalability

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